Job Description

We are seeking skilled Data Engineers with expertise in Microsoft Fabric to design and implement scalable data pipelines for telecom and fintech data. You will build the data infrastructure that powers our AI Center's analytics capabilities, handling high-volume network data, customer data, and financial transaction data.

Key Responsibilities

• Design and develop data pipelines using Microsoft Fabric for telecom network data (CDR, network performance metrics, IoT sensor data) and fintech data (transactions, customer profiles, payment logs)
• Build ETL/ELT processes for real-time and batch data ingestion from billing systems, CRM platforms, payment gateways, and core banking systems
• Implement data quality checks specific to telecom and financial data compliance requirements
• Optimize data storage and query performance in Fabric Lakehouse for large-scale telecom and transaction data
• Collaborate with data scientists and analysts to support their data requirements for ML models
• Implement security and access controls for sensitive customer and financial data
• Create and maintain technical documentation for data pipelines and architectures

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 3+ years of experience in data engineering or related roles
• Strong experience with Microsoft Fabric components (Data Factory, Synapse, Lakehouse)
• Proficiency in SQL, Python, and/or Scala for data processing
• Experience with Azure data services (Azure Data Lake, Azure SQL, Synapse Analytics)
• Knowledge of data modeling, dimensional modeling, and data warehousing concepts
• Strong English communication skills

Preferred Qualifications

• Experience working with telecom data (CDR, network logs, PCRF data)
• Experience with financial data pipelines and payment processing systems
• Microsoft Fabric certification or Azure Data Engineer Associate certification
• Experience with real-time data streaming (Event Hubs, Kafka) for transaction processing
• Knowledge of PCI-DSS compliance for payment data handling